What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Programming language
Pradeep K. Khosla mainly investigates Artificial intelligence, Control theory, Computer vision, Robot and Robotics.
Pradeep K. Khosla combines subjects such as Control engineering, Control theory and Metric with his study of Artificial intelligence.
His work carried out in the field of Control theory brings together such families of science as Kinematics, Robot control and Accelerometer.
Pradeep K. Khosla has researched Computer vision in several fields, including Active compensation, Adaptive control and Pattern recognition.
His Robot research includes elements of Software modules, The Internet, Software engineering and Position.
His studies deal with areas such as Control system, Manipulator, Intelligent control and Simulation as well as Robotics.
His most cited work include:
- Real-time obstacle avoidance using harmonic potential functions (564 citations)
- Visual tracking of a moving target by a camera mounted on a robot: a combination of control and vision (538 citations)
- SWATT: softWare-based attestation for embedded devices (530 citations)
What are the main themes of his work throughout his whole career to date?
Pradeep K. Khosla mainly focuses on Artificial intelligence, Robot, Computer vision, Control theory and Control engineering.
The study incorporates disciplines such as Task and Human–computer interaction in addition to Artificial intelligence.
His Robot study frequently links to other fields, such as Simulation.
His research in Computer vision intersects with topics in Control system and Adaptive control.
His Control engineering study incorporates themes from Parallel manipulator, Kinematics, Control, Modular design and Feedback loop.
His Modular design research integrates issues from Control reconfiguration, Embedded system and Self-reconfiguring modular robot.
He most often published in these fields:
- Artificial intelligence (40.67%)
- Robot (27.20%)
- Computer vision (22.02%)
What were the highlights of his more recent work (between 2003-2013)?
- Artificial intelligence (40.67%)
- Wireless sensor network (4.40%)
- Robot (27.20%)
In recent papers he was focusing on the following fields of study:
Pradeep K. Khosla spends much of his time researching Artificial intelligence, Wireless sensor network, Robot, Computer vision and Mathematical optimization.
His primary area of study in Artificial intelligence is in the field of Cognitive neuroscience of visual object recognition.
His Wireless sensor network research incorporates elements of Encoder, Upper and lower bounds and Channel capacity.
Pradeep K. Khosla works in the field of Robot, focusing on Mobile robot in particular.
His work investigates the relationship between Computer vision and topics such as Kalman filter that intersect with problems in Circular motion, Kinematics, Parallel manipulator, Teleoperation and Redundancy.
His Mathematical optimization research is multidisciplinary, relying on both Sampling, Motion planning and Markov chain.
Between 2003 and 2013, his most popular works were:
- SWATT: softWare-based attestation for embedded devices (530 citations)
- SORI: a secure and objective reputation-based incentive scheme for ad-hoc networks (385 citations)
- Pioneer: verifying code integrity and enforcing untampered code execution on legacy systems (323 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
His primary scientific interests are in Artificial intelligence, Computer vision, Robot, Control theory and Wireless sensor network.
His biological study spans a wide range of topics, including Interface and Task.
The concepts of his Computer vision study are interwoven with issues in Kalman filter and Pattern recognition.
His work on Motion planning as part of general Robot study is frequently connected to Gaussian process, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research integrates issues of Noise, Piezoelectricity, Scale factor and Accelerometer in his study of Control theory.
His Wireless sensor network research focuses on Embedded system and how it relates to Computer virus and Code.
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